GPO Plus (GPOX) Operating Expenses (2016 - 2026)
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Analysis
GPO Plus (GPOX) Operating Expenses (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | 8.39 Bn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | 198.00 Mn |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | 3.33 Bn |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | 1.43 Bn |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | 754.11 Mn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 1.53 Bn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 984.29 Mn |
| 10 | GPO Plus | 966,587.63 | 2.76 Mn | 298,163.00 | 766,448.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 766,448.00 |
| Apr 30, 2026 | 964,505.00 |
| Jan 31, 2026 | 893,948.00 |
| Oct 31, 2025 | 865,845.00 |
| Jul 31, 2025 | 800,148.00 |
| Apr 30, 2025 | 2.21 Mn |
| Jan 31, 2025 | 644,544.00 |
| Oct 31, 2024 | 726,624.00 |
| Jul 31, 2024 | 746,949.00 |
| Apr 30, 2024 | 1.81 Mn |
| Jan 31, 2024 | 908,406.00 |
| Oct 31, 2023 | 957,138.00 |
| Jul 31, 2023 | 1.16 Mn |
| Apr 30, 2023 | 1.31 Mn |
| Jan 31, 2023 | 776,783.00 |
| Oct 31, 2022 | 1.36 Mn |
| Jul 31, 2022 | 351,974.00 |
| Apr 30, 2022 | 301,338.00 |
| Jan 31, 2022 | 6.83 Mn |
| Oct 31, 2021 | 2.99 Mn |
API Access
GPO Plus Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GPOX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();